• Cite/Export
  Cite/Export

  Copy a citation

  APA (6th ed.)

  

  Chicago (Author-Date, 15th ed.)

  

  Harvard (18th ed.)

  

  MLA (7th ed.)

  

  Turabian (6th ed.)

  

  Export a citation

  Export to RefWorks   Export to EndNote / Reference Manager   Export to EasyBib
  Export to EndNote / Reference Manager(non-Latin)   Cancel

  Note: Citations are based on reference standards. However, formatting rules can vary widely between applications and fields of interest or study. The specific requirements or preferences of your reviewing publisher, classroom teacher, institution or organization should be applied.
• Print
• E-mail
  E-mail

  All fields are required.

  The E-mail Address(es) field is required. Please enter recipient e-mail address(es).

  The E-mail Address(es) you entered is(are) not in a valid format. Please re-enter recipient e-mail address(es).

  You may send this item to up to five recipients.

  Enter recipient e-mail address(es): Separate up to five addresses with commas (,)

  The name field is required. Please enter your name.

  Enter your name: The subject field is required. Please enter the subject. Subject:

  The E-mail message field is required. Please enter the message.

  E-mail Message: I thought you might be interested in this item at http://www.worldcat.org/oclc/701718616 Title: Introduction to genetic algorithms Author: S N Sivanandam; S N Deepa Publisher: Berlin ; New York : Springer, 2010. ISBN/ISSN: 9783642092244 3642092241 OCLC:701718616

  
  

  Please verify that you are not a robot.

  Cancel
• Share
• Permalink
  Permalink

  Copy this URL to link to this page:

• Write a review
• Rate this item:
• • 1
  • 2
  • 3
  • 4
  • 5

Introduction to genetic algorithms

Author:	S N Sivanandam; S N Deepa
Publisher:	Berlin ; New York : Springer, 2010.
Edition/Format:	Print book : EnglishView all editions and formats
Summary:	This book offers a basic introduction to genetic algorithms. It provides a detailed explanation of genetic algorithm concepts and examines numerous genetic algorithm optimization problems.
Rating:	(not yet rated) 0 with reviews - Be the first.
Subjects	Genetic programming (Computer science) Genetic algorithms. Programmation génétique (Informatique) View all subjects
More like this	Similar Items